{"id":"W2626054772","doi":"10.1080/19942060.2017.1331866","title":"Macroscopic particle method for channel flow over porous bed","year":2017,"lang":"en","type":"article","venue":"Engineering Applications of Computational Fluid Mechanics","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mechanics; Laminar flow; Porous medium; Particle (ecology); Porosity; Flow (mathematics); Inflow; Turbulence; Materials science; Boundary value problem; Darcy's law; Cylinder; Physics; Engineering; Mechanical engineering; Geology; Mathematics; Composite material; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004397522,0.0003789197,0.0005789084,0.0005276129,0.0004692331,0.0005172677,0.001044632,0.0007826691,0.002700428],"category_scores_gemma":[0.0007143745,0.0002573966,0.000742302,0.0004766106,0.000479774,0.0007449982,0.0007360756,0.0009255594,0.00071813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004573197,"about_ca_system_score_gemma":0.001105054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003645775,"about_ca_topic_score_gemma":0.002282085,"domain_scores_codex":[0.9997872,0.00004567355,0.000009153756,0.00002560491,0.0001167198,0.00001572399],"domain_scores_gemma":[0.9997483,0.0001019704,0.00001795222,0.00004292234,0.00006909946,0.00001966748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007605667,0.0001021182,0.001591757,0.0003136864,0.00008399427,0.0003236026,0.0001690875,0.6496087,0.0205324,0.1512022,0.004932018,0.1710644],"study_design_scores_gemma":[0.00001595983,0.00001588303,0.0001480223,0.000006571636,0.000005863033,0.00004469939,0.000007706356,0.9874312,0.001303002,0.005589146,0.005422497,0.000009414421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002220924,0.0001128542,0.9953331,0.00004314367,0.0000709012,0.00003296464,0.00003919721,0.0002850889,0.001861807],"genre_scores_gemma":[0.1874834,0.0006068079,0.8039747,0.0001157571,0.000124095,0.0003752027,0.0002931267,0.0003568577,0.00667015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003645775,"threshold_uncertainty_score":0.009033799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009474113829305533,"score_gpt":0.274682265813508,"score_spread":0.2652081519842025,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}